109 citations · 112 across the 11 of their papers we have counts for
4 papers · 1 filter
Sign-Symmetry Learning Rules are Robust Fine-Tuners
Aymene Berriche, Mehdi Zakaria Adjal, Riyadh Baghdadi
Backpropagation (BP) has long been the predominant method for training neural networks due to its effectiveness. However, numerous alternative approaches, broadly categorized under…
A Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler
Mohammed Tirichine, Nassim Ameur, Nazim Bendib +4
Code optimization is a crucial task that aims to enhance code performance. However, this process is often tedious and complex, highlighting the necessity for automatic code optimiz…
Combining Neural Architecture Search and Automatic Code Optimization: A Survey
Inas Bachiri, Hadjer Benmeziane, Smail Niar +3
Deep Learning models have experienced exponential growth in complexity and resource demands in recent years. Accelerating these models for efficient execution on resource-constrain…
Curriculum Learning for Small Code Language Models
Marwa Naïr, Kamel Yamani, Lynda Said Lhadj +1
Code language models have emerged as useful tools for various programming tasks, yet they often struggle when it comes to complex ones. In this paper, we explore the potential of c…